Data Engineering Manager

We’re looking for a strong, hands-on Data Engineering Manager to lead a high-performing team responsible for the ingestion, transformation, and availability of large-scale data systems. This team is at the heart of our data platform, powering everything from customer-facing analytics to operational reporting. In this role, you’ll be responsible for managing engineers working across multiple systems and technologies—including Hudi, Iceberg, Spark, Kafka, Debezium, and SQL-based platforms. Experience with Snowflake is a plus, as we are currently migrating parts of our data stack. This is both a people leadership and technical role, where you’ll guide architectural decisions, mentor engineers, and ensure the reliability and scalability of our pipelines and platforms.

What you will be doing :

• Lead and grow a team of data engineers working on real-time and batch data processing.
• Oversee ingestion pipelines from PostgreSQL (via Debezium + Kafka / MSK) into Spark-based data lakes (Hudi / Iceberg).
• Support the team in building and optimizing Spark jobs and workflows for large-scale data processing.
• Provide technical leadership on data lake architecture, schema evolution, and data quality practices.
• Collaborate with other engineering and product teams to ensure reliable data availability for key use cases.
• Work closely with platform leadership to evolve the architecture, including a transition toward Snowflake.
• Own team delivery, sprint planning, and performance management.
• Create a culture of accountability, mentorship, and continuous improvement.

What you will need to know / have :

It would be a bonus if you had :

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